Doud Melissa, Zeng Erliang, Schneper Lisa, Narasimhan Giri, Mathee Kalai
Department of Biological Sciences, Florida International University, Miami, FL 33199, USA.
Hum Genomics. 2009 Apr;3(3):246-56. doi: 10.1186/1479-7364-3-3-246.
Microbial communities play vital roles in many aspects of our lives, although our understanding of microbial biogeography and community profiles remains unclear. The number of microbes or the diversity of the microbes, even in small environmental niches, is staggering. Current microbiological methods used to analyse these communities are limited, in that many microorganisms cannot be cultured. Even for the isolates that can be cultured, the expense of identifying them definitively is much too high to be practical. Many recent molecular technologies, combined with bioinformatic tools, are raising the bar by improving the sensitivity and reliability of microbial community analysis. These tools and techniques range from those that attempt to understand a microbial community from their length heterogeneity profiles to those that help to identify the strains and species of a random sampling of the microbes in a given sample. These technologies are reviewed here, using the microbial communities present in the lungs of cystic fibrosis patients as a paradigm.
微生物群落对我们生活的许多方面都起着至关重要的作用,尽管我们对微生物生物地理学和群落概况的了解仍不明确。即使在小的环境生态位中,微生物的数量或微生物的多样性也是惊人的。用于分析这些群落的当前微生物学方法是有限的,因为许多微生物无法培养。即使对于能够培养的分离株,明确鉴定它们的成本也太高而不实用。最近的许多分子技术与生物信息工具相结合,通过提高微生物群落分析的灵敏度和可靠性而提高了标准。这些工具和技术范围广泛,从那些试图根据长度异质性概况了解微生物群落的技术,到那些有助于识别给定样本中随机抽样的微生物菌株和物种的技术。本文以囊性纤维化患者肺部存在的微生物群落为例对这些技术进行综述。